An integrated Shannon Entropy and reference ideal method for the selection of enhanced oil recovery pilot areas based on an unsupervised machine learning algorithm

IF 1.8 4区工程技术 Q4 ENERGY & FUELS

Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles Pub Date : 2021-01-01 DOI:10.2516/ogst/2021061

S. M. Motahhari, M. Rafizadeh, S. Pishvaie, M. Ahmadi

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引用次数: 0

Abstract

Pilot-scale enhanced oil recovery in hydrocarbon field development is often implemented to reduce investment risk due to geological uncertainties. Selection of the pilot area is important, since the result will be extended to the full field. The main challenge in choosing a pilot region is the absence of a systematic and quantitative method. In this paper, we present a novel quantitative and systematic method composed of reservoir-geology and operational-economic criteria where a cluster analysis is utilized as an unsupervised machine learning method. A field of study will be subdivided into pilot candidate areas, and the optimized pilot size is calculated using the economic objective function. Subsequently, the corresponding Covariance (COV) matrix is computed for the simulated 3-D reservoir quality maps in the areas. The areas are optimally clustered to select the dominant cluster. The operational-economic criteria could be applied for decision making as well as the proximity of each area to the center of dominant cluster as a geological-reservoir criterion. Ultimately, the Shannon entropy weighting and the reference ideal method are applied to compute the pilot opportunity index in each area. The proposed method was employed for a pilot study on an oil field in south west Iran.

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基于无监督机器学习算法的综合Shannon熵和参考理想方法选择提高采收率试验区

为了降低地质不确定性带来的投资风险，通常会在油气田开发中实施中试规模的提高采收率措施。试点地区的选择很重要，因为试验结果将推广到整个地区。选择试点地区的主要挑战是缺乏系统和定量的方法。在本文中，我们提出了一种新的定量和系统的方法，由油藏地质和操作经济标准组成，其中聚类分析被用作无监督机器学习方法。将研究领域细分为试点候选区域，并利用经济目标函数计算优化后的试点规模。随后，对模拟得到的三维储层质量图计算相应的COV矩阵。这些区域被最佳地聚集在一起，以选择优势集群。该评价标准可用于决策，也可作为地质储层评价标准，以各区域与优势集群中心的接近程度为评价标准。最后，应用香农熵加权和参考理想法计算各区域的试点机会指数。该方法已在伊朗西南部某油田进行了试点研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles 工程技术-工程：化工

CiteScore

2.70

自引率

0.00%

发文量

审稿时长

2.7 months

期刊介绍： OGST - Revue d''IFP Energies nouvelles is a journal concerning all disciplines and fields relevant to exploration, production, refining, petrochemicals, and the use and economics of petroleum, natural gas, and other sources of energy, in particular alternative energies with in view of the energy transition. OGST - Revue d''IFP Energies nouvelles has an Editorial Committee made up of 15 leading European personalities from universities and from industry, and is indexed in the major international bibliographical databases. The journal publishes review articles, in English or in French, and topical issues, giving an overview of the contributions of complementary disciplines in tackling contemporary problems. Each article includes a detailed abstract in English. However, a French translation of the summaries can be provided to readers on request. Summaries of all papers published in the revue from 1974 can be consulted on this site. Over 1 000 papers that have been published since 1997 are freely available in full text form (as pdf files). Currently, over 10 000 downloads are recorded per month. Researchers in the above fields are invited to submit an article. Rigorous selection of the articles is ensured by a review process that involves IFPEN and external experts as well as the members of the editorial committee. It is preferable to submit the articles in English, either as independent papers or in association with one of the upcoming topical issues.